[R] Res: gc() and memory efficiency

From: Milton Cezar Ribeiro <milton_ruser_at_yahoo.com.br>
Date: Wed, 6 Feb 2008 17:35:44 -0800 (PST)


Dear Harold,

I had the same problem some times ago. I noticed that after I run a set commands (cleaning all non-usefull variables) for 5 times, the system broken-down. I solved it building several scritpsNN.R and call them in a .BAT DOS file. It worked so fine, almost in my case, and the computer runned for several days without stop :-)

If you need more info on this solutions, fill free to write me again.

By other side, if you find a better solutions (I also unfortunatelly run windows), share with us.

Kind regards

Miltinho
Brazil

On Mon, 4 Feb 2008, Doran, Harold wrote:

> I have a program which reads in a very large data set, performs some
> analyses, and then repeats this process with another data set. As soon
> as the first set of analyses are complete, I remove the very large
> object and clean up to try and make memory available in order to run the
> second set of analyses. The process looks something like this:
>
> 1) read in data set 1 and perform analyses
> rm(list=ls())
> gc()
> 2) read in data set 2 and perform analyses
> rm(list=ls())
> gc()
> ...
>
> But, it appears that I am not making the memory that was consumed in
> step 1 available back to the OS as R complains that it cannot allocate a
> vector of size X as the process tries to repeat in step 2.
>
> So, I close and reopen R and then drop in the code to run the second
> analysis. When this is done, I close and reopen R and run the third
> analysis.
>
> This is terribly inefficient. Instead I would rather just source in the
> R code and let the analyses run over night.
>
> Is there a way that I can use gc() or some other function more
> efficiently rather than having to close and reopen R at each iteration?
>
> I'm using Windows XP and r 2.6.1
>
> Harold
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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>

-- 
Brian D. Ripley,                  ripley_at_stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,            Tel:  +44 1865 272861 (self)
1 South Parks Road,                    +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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 para armazenamento!

	[[alternative HTML version deleted]]


______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.

Received on Thu 07 Feb 2008 - 01:39:33 GMT

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